allow to save the merged landuse and paddy map

docs/api.rst

@@ -39,7 +39,7 @@ Setup components
    WflowModel.setup_laimaps
    WflowModel.setup_laimaps_from_lulc_mapping
    WflowModel.setup_allocation_areas
-   WflowModel.setup_surfacewaterfrac
+   WflowModel.setup_allocation_surfacewaterfrac
    WflowModel.setup_domestic_demand
    WflowModel.setup_other_demand
    WflowModel.setup_irrigation

docs/user_guide/wflow_model_setup.rst

@@ -78,8 +78,8 @@ a specific method see its documentation.
       -  Setup constant parameter maps for all active model cells.
     * - :py:func:`~WflowModel.setup_allocation_areas`
       -  Create water demand allocation areas.
-    * - :py:func:`~WflowModel.setup_surfacewaterfrac`
-      -  Create water demand surface water consumption fraction.
+    * - :py:func:`~WflowModel.setup_allocation_surfacewaterfrac`
+      -  Create fraction of surface water used for allocation of the water demands.
     * - :py:func:`~WflowModel.setup_domestic_demand`
       -  Create domestic water demand.
     * - :py:func:`~WflowModel.setup_other_demand`

hydromt_wflow/wflow.py

@@ -2165,6 +2165,7 @@ def setup_lulcmaps_with_paddy(
             "h4",
         ],
         paddy_waterlevels: Dict = {"h_min": 20, "h_opt": 50, "h_max": 80},
+        save_high_resolution_lulc: bool = False,
     ):
         """Set up landuse maps and parameters including for paddy fields.
 
@@ -2270,6 +2271,9 @@ def setup_lulcmaps_with_paddy(
         paddy_waterlevels : dict
             Dictionary with the minimum, optimal and maximum water levels for paddy
             fields [mm]. By default {"h_min": 20, "h_opt": 50, "h_max": 80}
+        save_high_resolution_lulc : bool
+            Save the high resolution landuse map merged with the paddies to the static
+            folder. By default False.
         """
         self.logger.info("Preparing LULC parameter maps including paddies.")
         # Check if soil data is available
@@ -2315,6 +2319,13 @@ def setup_lulcmaps_with_paddy(
                 df_paddy_mapping=df_paddy_mapping,
             )
 
+            if save_high_resolution_lulc:
+                output_dir = join(self.root, "maps")
+                if not os.path.exists(output_dir):
+                    os.path.makedirs(output_dir)
+                landuse.raster.to_raster(join(output_dir, "landuse_with_paddy.tif"))
+                df_mapping.to_csv(join(output_dir, "landuse_with_paddy_mapping.csv"))
+
         # Prepare landuse parameters
         landuse_maps = workflows.landuse(
             da=landuse,